Solving fuzzy two-stage programming problem with discrete fuzzy vector

被引：0
作者：
Wang, Sheng-Hua [1 ]
Guo, Bao-Hua [1 ]
Zhang, Qun-Feng [2 ]
机构：
[1] North China Elect Power Univ, Dept Math & Phys, Baoding 071003, Peoples R China
[2] Hebei Univ, Fac Math & Comp Sci, Baoding 071002, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
fuzzy programming; fuzzy variable; two-stage; expected value;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The fuzzy two-stage programming problem with discrete fuzzy vector is hard to solve. In this paper, in order to solve this class of model, we design a algorithm by which we solve its deterministic equivalent programming to obtain optimal solution. Finally, two numerical examples are provided for showing the effectiveness of this algorithm.
引用
收藏
页码：1288 / +
页数：2
相关论文
共 16 条
[1]  
[Anonymous], 1988, POSSIBILITY THEORY A
[2]   SOLVING POSSIBILISTIC LINEAR-PROGRAMMING PROBLEMS [J].
BUCKLEY, JJ .
FUZZY SETS AND SYSTEMS, 1989, 31 (03) :329-341
[3]   Fuzzy multilevel programming with a hybrid intelligent algorithm [J].
Gao, JW ;
Liu, BD .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2005, 49 (9-10) :1539-1548
[4]  
HUANG XX, APPL MATH COMPUTATIO, V177, P500
[5]   MODALITY CONSTRAINED PROGRAMMING-PROBLEMS - A UNIFIED APPROACH TO FUZZY MATHEMATICAL-PROGRAMMING PROBLEMS IN THE SETTING OF POSSIBILITY THEORY [J].
INUIGUCHI, M ;
ICHIHASHI, H ;
KUME, Y .
INFORMATION SCIENCES, 1993, 67 (1-2) :93-126
[6]   On fuzzy-set interpretation of possibility theory [J].
Klir, GJ .
FUZZY SETS AND SYSTEMS, 1999, 108 (03) :263-273
[7]  
LIU B, FUZZY SETS SYSTEMS, V122, P253
[8]  
Liu B., 2004, Uncertainty Theory
[9]   Dependent-chance programming with fuzzy decisions [J].
Liu, BD .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (03) :354-360
[10]   Chance constrained programming with fuzzy parameters [J].
Liu, BD ;
Iwamura, K .
FUZZY SETS AND SYSTEMS, 1998, 94 (02) :227-237
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